UL Solutions (ULS) Non-Current Debt (2023 - 2026)
UL Solutions (ULS) reported Non-Current Debt of $301 million for Q2 2026, down 50.5% from $608 million a year earlier and down 15.7% from the prior quarter.
UL Solutions (ULS) Non-Current Debt (2023 - 2026) Analysis & Trends
At the end of FY2025, UL Solutions posted Non-Current Debt of $491 million, down 29.0% from FY2024.
- By year, Non-Current Debt came in at $692 million in FY2024 (-23.5%) and $904 million in FY2023.
- The Q2 2026 figure ranks as the lowest quarterly Non-Current Debt in data going back to Q4 2023.
- Year over year, Non-Current Debt has now declined in each of the last seven quarters, with an average decline of 32.0% over the last seven quarters.
- Per Business Quant data, the three quarters before Q2 2026 came in at $357 million (Q1 2026), $491 million (Q4 2025) and $544 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 118.39 Bn | 78.80 Bn | 6.13 Bn | 5.03 Bn |
| 2 | Cintas | 79.13 Bn | 78.31 Bn | 1.48 Bn | 1.43 Bn |
| 3 | Iron Mountain | 33.17 Bn | 32.69 Bn | 1.07 Bn | 17.13 Bn |
| 4 | APi | 16.75 Bn | 13.79 Bn | 703.00 Mn | 3.22 Bn |
| 5 | Rollins | 14.67 Bn | 14.22 Bn | 569.95 Mn | 487.11 Mn |
| 6 | Aramark | 14.35 Bn | 12.37 Bn | 430.34 Mn | 6.09 Bn |
| 7 | UL Solutions | 13.11 Bn | 11.89 Bn | 417.00 Mn | 301.00 Mn |
| 8 | Gartner | 11.73 Bn | 5.42 Bn | 1.19 Bn | 2.98 Bn |
| 9 | Rentokil Initial | 10.12 Bn | 3.46 Bn | - | - |
| 10 | Tetra Tech | 8.63 Bn | 7.74 Bn | 243.21 Mn | 801.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 301.00 Mn |
| Mar 31, 2026 | 357.00 Mn |
| Dec 31, 2025 | 491.00 Mn |
| Sep 30, 2025 | 544.00 Mn |
| Jun 30, 2025 | 608.00 Mn |
| Mar 31, 2025 | 653.00 Mn |
| Dec 31, 2024 | 692.00 Mn |
| Sep 30, 2024 | 760.00 Mn |
| Jun 30, 2024 | 785.00 Mn |
| Mar 31, 2024 | 867.00 Mn |
| Dec 31, 2023 | 904.00 Mn |
UL Solutions Non-Current Debt API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=non-current-debt&ticker=ULS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "ULS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-debt&ticker=ULS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();